Building and Orchestrating Containers with Docker Compose faq

learnersLearners:
instructor Instructor: Dan Wahlin instructor-icon
duration Duration: 2.00 instructor-icon

This course provides an introduction to Docker Compose, a tool for building and orchestrating multiple containers. Learn how to increase productivity when creating custom images and managing multiple containers with Docker Compose.

Course Feature Course Overview Course Provider
Go to class

Course Feature

costCost:

Free Trial

providerProvider:

Pluralsight

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

On-Demand

Course Overview

❗The content presented here is sourced directly from Pluralsight platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [March 06th, 2023]

This course, Building and Orchestrating Containers with Docker Compose, will provide students with the skills and knowledge needed to increase their productivity when building custom images and orchestrating multiple containers. Students will learn the fundamentals of YAML and how it is used by Docker Compose to define services. They will also explore key Docker Compose properties that can be used within services to automate the process of building custom images and running containers. Finally, students will be able to use Docker Compose commands to build custom images, orchestrate running multiple containers, view container logs, and more.

[Applications]
Upon completion of this course, learners will be able to apply their knowledge of Docker Compose to increase their productivity when building custom images and orchestrating multiple containers. Learners will be able to use YAML to define services, use Docker Compose properties to automate the process of building custom images and running containers, and use Docker Compose commands to build custom images, orchestrate running multiple containers, view container logs, and more.

[Career Paths]
1. DevOps Engineer: DevOps Engineers are responsible for the development, deployment, and maintenance of applications and systems. They use Docker Compose to automate the process of building custom images and running containers, as well as to orchestrate multiple containers. As the demand for DevOps Engineers continues to grow, the need for professionals with expertise in Docker Compose will also increase.

2. Cloud Engineer: Cloud Engineers use Docker Compose to build custom images and orchestrate multiple containers used by their applications. They also use Docker Compose to automate the process of deploying applications to the cloud. As cloud computing continues to grow in popularity, the need for Cloud Engineers with expertise in Docker Compose will also increase.

3. Software Developer: Software Developers use Docker Compose to build custom images and orchestrate multiple containers used by their applications. They also use Docker Compose to automate the process of deploying applications to the cloud. As software development continues to evolve, the need for Software Developers with expertise in Docker Compose will also increase.

4. System Administrator: System Administrators use Docker Compose to build custom images and orchestrate multiple containers used by their applications. They also use Docker Compose to automate the process of deploying applications to the cloud. As the demand for System Administrators continues to grow, the need for professionals with expertise in Docker Compose will also increase.

[Education Paths]
Recommended Degree Paths:
1. Bachelor of Science in Computer Science: This degree path provides students with a comprehensive understanding of computer science fundamentals, including programming, software engineering, and data structures. Students will also learn about the latest technologies and trends in the field, such as cloud computing, artificial intelligence, and machine learning.

2. Master of Science in Software Engineering: This degree path focuses on the design, development, and maintenance of software systems. Students will learn about software engineering principles, software development methodologies, and software testing techniques. They will also gain experience in developing software applications for various platforms.

3. Master of Science in Cloud Computing: This degree path focuses on the design, implementation, and management of cloud-based systems. Students will learn about cloud computing architectures, cloud security, and cloud-based services. They will also gain experience in developing cloud-based applications and services.

4. Master of Science in Artificial Intelligence: This degree path focuses on the development of intelligent systems and applications. Students will learn about artificial intelligence algorithms, machine learning techniques, and natural language processing. They will also gain experience in developing intelligent applications and services.

Course Provider

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